- 专利标题: System and method for detecting polyps from learned boundaries
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申请号: US15305288申请日: 2015-04-24
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公开(公告)号: US09747687B2公开(公告)日: 2017-08-29
- 发明人: Nima Tajbakhsh , Suryakanth R. Gurudu , Jianming Liang
- 申请人: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY , MAYO FOUNDATION FOR MEDICAL EDUCATION AND RESEARCH
- 申请人地址: US AZ Scottsdale US MN Rochester
- 专利权人: Arizona Board of Regents on Behalf of Arizona State University,Mayo Foundation for Medical Education and Research
- 当前专利权人: Arizona Board of Regents on Behalf of Arizona State University,Mayo Foundation for Medical Education and Research
- 当前专利权人地址: US AZ Scottsdale US MN Rochester
- 代理机构: Quarles & Brady LLP
- 国际申请: PCT/US2015/027552 WO 20150424
- 国际公布: WO2015/164768 WO 20151029
- 主分类号: G06K9/00
- IPC分类号: G06K9/00 ; G06T7/00 ; A61B1/31 ; A61B1/00 ; A61B1/06 ; G06T7/40 ; G06T7/73 ; G06K9/46 ; G06K9/62 ; A61B6/02
摘要:
A system and method for automated polyp detection in optical colonoscopy images is provided. In one embodiment, the system and method for polyp detection is based on an observation that image appearance around polyp boundaries differs from that of other boundaries in colonoscopy images. To reduce vulnerability against misleading objects, the image processing method localizes polyps by detecting polyp boundaries, while filtering out irrelevant boundaries, with a generative-discriminative model. To filter out irrelevant boundaries, a boundary removal mechanism is provided that captures changes in image appearance across polyp boundaries. Thus, in this embodiment the boundary removal mechanism is minimally affected by texture visibility limitations. In addition, a vote accumulation scheme is applied that enables polyp localization from fragmented edge segmentation maps without identification of whole polyp boundaries.
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